Clusteval logo ClustEval clustering evaluation framework

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Program Best quality Parameter set Clustering
Spectral Clustering 0.493 k=123 Clustering
clusterdp 0.586 k=12
dc=0.8956222079504931
Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=169
Clustering
c-Means 0.0 k=188
m=1.01
Clustering
k-Medoids (PAM) 0.0 k=162 Clustering
DIANA 0.0 metric=euclidean
k=186
Clustering
DBSCAN 0.609 eps=0.9277384516580337
MinPts=133
Clustering
Hierarchical Clustering 0.0 method=average
k=174
Clustering
fanny 0.393 k=77
membexp=5.0
Clustering
clusterONE 0.609 s=120
d=0.7666666666666667
Clustering
Affinity Propagation 0.573 dampfact=0.7725
preference=0.9698910215241808
maxits=4250
convits=275
Clustering
Markov Clustering 0.609 I=5.6702702702702705 Clustering
Transitivity Clustering 0.0 T=0.9996383305888793 Clustering
MCODE 0.594 v=0.0
cutoff=0.9849455107620905
haircut=F
fluff=T
Clustering